GPU clusters for high-performance computing
Published 1 January 2009
Volodymyr Kindratenko, Jeremy Enos, Guochun Shi, Michael Showerman, Galen Wesley Arnold, John E. Stone
Citations220
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TL;DR
This paper presents efforts to address some of the challenges with building and running GPU clusters in HPC environments and touches upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.
Abstract
Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.
Keywords
Computer Science
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